نتایج جستجو برای: plot less sampling
تعداد نتایج: 831687 فیلتر نتایج به سال:
این برنامه به منظور رسم: dose-response plot و محاسبهء ed 50 schildt plot و محاسبهء ke, pa2 همینطور ترسیم:linear plot semilogrithmic plot scatchard plot scatchard plot double reciprocal plot و محاسبهءmax[lr]kd نوشته شده است . کامپیوتر با سوالاتی که مطرح کرده و استفاده کننده به آنها پاسخ می دهد، به data های لازم برای انجام محاسبات و رسم منحنی های پی می برد. محاسبات بسیار سریع انجام می شود، طوری ک...
The worm plot is a series of detrended Q-Q plots, split by covariate levels. The worm plot is a diagnostic tool for visualizing how well a statistical model fits the data, for finding locations at which the fit can be improved, and for comparing the fit of different models. This paper shows how the worm plot can be used in conjunction with quantile regression. No parametric distributional assum...
Knowledge of production-system performance is largely based on observations at the experimental plot scale. Although yield gaps between plot-scale and field-scale research are widely acknowledged, their extent and persistence have not been experimentally examined in a systematic manner. At a site in southwest Michigan, we conducted a 6-y experiment to test the accuracy with which plot-scale cro...
The Keeling plot analysis is an interpretation method widely used in terrestrial carbon cycle research to quantify exchange processes of carbon between terrestrial reservoirs and the atmosphere. Here, we analyse measured data sets and artificial time series of the partial pressure of atmospheric carbon dioxide (pCO2) and of δ C of CO2 over industrial and glacial/interglacial time scales and inv...
A standardized sampling technique for measuring plant diversity is needed to assist in resource inventories and for monitoring long-term trends in vascular plant species richness.With considering to the estimated richness amount (via different methods) are changing influenced by interaction of plot distance and shape, and also, presenting of a plot design (that can be near to reality) is import...
Statisticians routinely plot ordered observations against expected values to validate a model using a random sample. In fact, it is possible to construct a probability plot for a random sample from any continuous distribution function, and this is accommodated by the probability integral transform which facilitates a uniform probability plot of the ordered transformed observations against their...
Clustering is an important data exploration task. A prominent clustering algorithm is agglomerative hierarchical clustering. Roughly, in each iteration, it merges the closest pair of clusters. It was rst proposed way back in 1951, and since then there have been numerous mod-iications. Some of its good features are: a natural, simple, and non-parametric grouping of similar objects which is capab...
We carried out a study on the anurofaunal community from an Atlantic Forest fragment (Monte Verde mountains) and the surrounding area in Cambuci municipality, Rio de Janeiro State, Brazil, which constitutes one of the largest fragments remaining in the largely deforested landscape of the northern portion of the State. We combined three sampling methods: plot sampling, transects and pit-fall tra...
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